System and method for virtual learning environment

Abstract

A computer-implemented method includes generating a virtual learning environment comprising a three-dimensional interactive virtual environment. The virtual learning environment includes at least one student avatar related to a user and a second avatar that functions as an automated tutor. The automated tutor is powered by an AI processor and machine learning to generate interactive real-time responses in response to queries input by the user.

What is claimed is: 
     
         1 . A computer-implemented method comprising:
 generating, by use of a processor, a virtual learning environment comprising a three-dimensional interactive virtual environment that generates a three-dimensional learning space,   generating at least one three-dimensional student avatar related to a user within the three-dimensional learning space and generates a second three-dimensional avatar within the three-dimensional learning space, wherein the second three-dimensional avatar functions as an automated tutor;   generating a student database that stores data and information about the user, wherein the data and information about the user determines a teaching level for the automated tutor;   generating a teacher database that stores training materials including course materials, recorded video lectures, audio clips, written notes, assignments, or lesson plans related to a real-life teacher, and wherein the training materials are used to train the automated tutor to clone a voice of the real-life teacher and use the voice for the automated tutor, and wherein the training materials are used to train the automated tutor to mimic a teaching style of the real-life teacher;   wherein the automated tutor is powered by an AI processor and machine learning to generate interactive real-time responses in response to queries input by the user, and wherein the AI processor utilizes a plurality of stored training materials to generate responses that are presented by the second three-dimensional avatar;   generating a series of questions to the three-dimensional student avatar of the user and storing responses to the series of questions;   evaluating the responses using advanced natural language processing techniques and machine learning algorithms, wherein evaluating the responses includes evaluating an accuracy, depth, and context of the responses; and   after evaluating the responses, providing feedback to the user and developing a plan of materials to be shown by the automated tutor to the user.   
     
     
         2 . The computer-implemented method of  claim 1 , further comprising adjusting a speed at which new materials are introduced to the user, wherein the adjusting is based on the responses. 
     
     
         3 . The computer-implemented method of  claim 2 , further comprising utilizing an AI algorithm to analyze actions and performance of the at least one student avatar to generate tailored learning exercises. 
     
     
         4 . The computer-implemented method of  claim 3 , further comprising translating the real-time response into a second language. 
     
     
         5 . A computer system, comprising:
 one or more processors;   memory including instructions which, when accessed by the one or more processors, cause the one or more processors to:
 generate a virtual learning environment comprising a three-dimensional interactive virtual environment that generates a three-dimensional learning space, 
 wherein the virtual learning environment includes at least one three-dimensional student avatar related to a user within the three-dimensional learning space and a second three-dimensional avatar within the three-dimensional learning space, wherein the second three-dimensional avatar functions as an automated tutor; 
 generate a student database that stores data and information about the user, wherein the data and information about the user determines a teaching level for the automated tutor; 
 generate a teacher database that stores training materials including course materials, recorded video lectures, audio clips, written notes, assignments, or lesson plans related to a real-life teacher, and wherein the training materials are used to train the automated tutor to clone a voice of the real-life teacher and use the voice for the automated tutor, and wherein the training materials are used to train the automated tutor to mimic a teaching style of the real-life teacher; 
 wherein the automated tutor is powered by an AI processor and machine learning to generate interactive real-time responses in response to queries input by the user, wherein the AI processor utilizes a plurality of stored training materials to generate responses that are presented by the second three-dimensional avatar; 
 generate a series of questions to the three-dimensional student avatar of the user and storing responses to the series of questions; 
 evaluate the responses using advanced natural language processing techniques and machine learning algorithms, wherein evaluating the responses includes evaluating an accuracy, depth, and context of the responses; and 
 after evaluating the responses, provide feedback to the user and developing a plan of materials to be shown by the automated tutor to the user. 
   
     
     
         6 . The computer system of  claim 5 , wherein the memory includes further instructions which cause the one or more processors to:
 adjust a speed at which new materials are introduced to the user, wherein the adjusting is based on the responses.   
     
     
         7 . The computer system of  claim 6 , wherein the memory includes further instructions which cause the one or more processors to: utilize an AI algorithm to analyze actions and performance of the at least one student avatar to generate tailored learning exercises. 
     
     
         8 . The computer system of  claim 7 , wherein the memory includes further instructions which cause the one or more processors to: translate the real-time response into a second language. 
     
     
         9 . A computer system comprising:
 a core engine comprising one or more processors and configured to generate a virtual learning environment comprising a three-dimensional interactive virtual environment that generates a three-dimensional learning space, wherein the core engine is configured to communicate with a student database that stores data and information about the user, wherein the data and information about the user determines a teaching level for the automated tutor, and wherein the core engine is configured to communicate with a teacher database that stores training materials including course materials, recorded video lectures, audio clips, written notes, assignments, or lesson plans related to a real-life teacher, and wherein the training materials are used to train the automated tutor to clone a voice of the real-life teacher and use the voice for the automated tutor, and wherein the training materials are used to train the automated tutor to mimic a teaching style of the real-life teacher;   an avatar engine comprising one or more processors and configured to generate at least one three-dimensional student avatar related to a user within the three-dimensional learning space;   an automated teacher engine comprising one or more processors and configured to generate a second three-dimensional avatar, wherein the second three-dimensional avatar functions as an automated tutor within the three-dimensional learning space, wherein the automated tutor is powered by an AI processor and machine learning to generate interactive real-time responses in response to queries input by the user, and wherein the AI processor utilizes a plurality of stored training materials to generate responses that are presented by the second three-dimensional avatar;
 wherein the automated teacher engine is configured to generate a series of questions to the three-dimensional student avatar of the user and storing responses to the series of questions; 
 wherein the automated teacher engine is configured to evaluate the responses using advanced natural language processing techniques and machine learning algorithms, wherein evaluating the responses includes evaluating an accuracy, depth, and context of the responses; and 
 wherein the automated teacher engine is configured to, after evaluating the responses, provide feedback to the user and developing a plan of materials to be shown by the automated tutor to the user. 
   
     
     
         10 . The computer system of  claim 9 , wherein the artificial intelligence engine is configured to adjust a speed at which new materials are introduced to the user, wherein the adjusting is based on the responses. 
     
     
         11 . The computer system of  claim 10 , wherein the artificial intelligence engine is configured to utilize an AI algorithm to analyze actions and performance of the at least one student avatar to generate tailored learning exercises.